Overview

Dataset statistics

Number of variables20
Number of observations500
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory78.2 KiB
Average record size in memory160.3 B

Variable types

NUM20

Reproduction

Analysis started2020-08-25 00:44:47.613150
Analysis finished2020-08-25 00:45:48.525329
Duration1 minute and 0.91 seconds
Versionpandas-profiling v2.8.0
Command linepandas_profiling --config_file config.yaml [YOUR_FILE.csv]
Download configurationconfig.yaml

Warnings

oz14 has unique values Unique
oz40 has unique values Unique
oz31 has unique values Unique
oz46 has unique values Unique
oz18 has unique values Unique
oz49 has unique values Unique
oz27 has unique values Unique
oz26 has unique values Unique
oz33 has unique values Unique
oz20 has unique values Unique
oz13 has unique values Unique
oz5 has unique values Unique
oz38 has unique values Unique
oz9 has unique values Unique
oz4 has unique values Unique
oz7 has unique values Unique
oz42 has unique values Unique
oz47 has unique values Unique
oz48 has unique values Unique
target has unique values Unique

Variables

oz14
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7655547690509365e-09
Minimum-1.8462016582489011
Maximum1.7043601274490356
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:45:48.567524image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.846201658
5-th percentile-1.635380918
Q1-0.7789806724
median0.02324685641
Q30.8298027217
95-th percentile1.571977484
Maximum1.704360127
Range3.550561786
Interquartile range (IQR)1.608783394

Descriptive statistics

Standard deviation0.999999999
Coefficient of variation (CV)566394210.2
Kurtosis-1.101910939
Mean1.765554769e-09
Median Absolute Deviation (MAD)0.8063468337
Skewness-0.08549779454
Sum8.827773845e-07
Variance0.999999998
2020-08-25T00:45:48.675366image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.08544925610.2%
 
-0.309529572710.2%
 
1.17050695410.2%
 
-0.408350110110.2%
 
-0.575491309210.2%
 
-1.18614232510.2%
 
0.78252589710.2%
 
1.24211323310.2%
 
1.1431789410.2%
 
-0.783886432610.2%
 
0.339509606410.2%
 
1.66109728810.2%
 
0.202227637210.2%
 
0.962572574610.2%
 
-0.715782523210.2%
 
1.39517724510.2%
 
-0.201326444710.2%
 
-1.29752349910.2%
 
-0.737632334210.2%
 
-0.261394977610.2%
 
0.879107177310.2%
 
-0.742884993610.2%
 
-0.261888295410.2%
 
0.534475743810.2%
 
1.12568652610.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.84620165810.2%
 
-1.84549677410.2%
 
-1.84453833110.2%
 
-1.84297418610.2%
 
-1.84123897610.2%
 
-1.83301258110.2%
 
-1.82547628910.2%
 
-1.80866193810.2%
 
-1.80421602710.2%
 
-1.79739129510.2%
 
ValueCountFrequency (%) 
1.70436012710.2%
 
1.70029759410.2%
 
1.69132494910.2%
 
1.68954467810.2%
 
1.68687295910.2%
 
1.68362379110.2%
 
1.67457342110.2%
 
1.67226505310.2%
 
1.66508984610.2%
 
1.66109728810.2%
 

oz40
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-8.482602460446742e-10
Minimum-1.893079161643982
Maximum1.6612751483917236
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:45:48.793190image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.893079162
5-th percentile-1.662373936
Q1-0.8345444202
median0.03044062387
Q30.8547770381
95-th percentile1.478969067
Maximum1.661275148
Range3.55435431
Interquartile range (IQR)1.689321458

Descriptive statistics

Standard deviation0.9999999975
Coefficient of variation (CV)-1178883488
Kurtosis-1.135210616
Mean-8.48260246e-10
Median Absolute Deviation (MAD)0.8518889844
Skewness-0.1387350125
Sum-4.24130123e-07
Variance0.999999995
2020-08-25T00:45:48.897511image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.20508170110.2%
 
0.295083463210.2%
 
0.842572569810.2%
 
1.54054665610.2%
 
1.37169814110.2%
 
1.08654630210.2%
 
-0.74618315710.2%
 
-0.863587498710.2%
 
1.50133371410.2%
 
1.06955146810.2%
 
-1.28578233710.2%
 
-1.09437954410.2%
 
1.43227255310.2%
 
0.698558807410.2%
 
-1.50650024410.2%
 
-0.295466452810.2%
 
-1.44210863110.2%
 
-0.192709192610.2%
 
0.861662447510.2%
 
-1.28192007510.2%
 
-1.59442281710.2%
 
-1.33075201510.2%
 
0.957446932810.2%
 
0.954440593710.2%
 
-1.26552593710.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.89307916210.2%
 
-1.89228868510.2%
 
-1.87680900110.2%
 
-1.86232745610.2%
 
-1.85389721410.2%
 
-1.8526916510.2%
 
-1.84967732410.2%
 
-1.82222378310.2%
 
-1.79179847210.2%
 
-1.7862402210.2%
 
ValueCountFrequency (%) 
1.66127514810.2%
 
1.64814639110.2%
 
1.64533150210.2%
 
1.64488995110.2%
 
1.64402580310.2%
 
1.64093339410.2%
 
1.63741707810.2%
 
1.6262483610.2%
 
1.62434017710.2%
 
1.62387967110.2%
 

oz31
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.2284144723651025e-09
Minimum-1.6059221029281616
Maximum1.7455801963806152
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:45:49.018358image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.605922103
5-th percentile-1.466512346
Q1-0.9004223496
median-0.0780037716
Q30.8691128045
95-th percentile1.532146221
Maximum1.745580196
Range3.351502299
Interquartile range (IQR)1.769535154

Descriptive statistics

Standard deviation0.9999999991
Coefficient of variation (CV)-814057487.6
Kurtosis-1.288761898
Mean-1.228414472e-09
Median Absolute Deviation (MAD)0.8859182969
Skewness0.0889930473
Sum-6.142072362e-07
Variance0.9999999982
2020-08-25T00:45:49.124994image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.19922232610.2%
 
-1.31696867910.2%
 
-1.25183057810.2%
 
-0.663405597210.2%
 
0.679830431910.2%
 
-1.45572805410.2%
 
-0.837241768810.2%
 
1.1198017610.2%
 
0.562831759510.2%
 
-0.269697725810.2%
 
1.24481272710.2%
 
1.57879674410.2%
 
0.653658568910.2%
 
0.0904963538110.2%
 
-0.141686633210.2%
 
-0.727881252810.2%
 
-1.34644007710.2%
 
0.778662860410.2%
 
-0.825539171710.2%
 
-0.410886108910.2%
 
0.91160643110.2%
 
-0.943707048910.2%
 
0.439627498410.2%
 
0.457587331510.2%
 
0.632338345110.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.60592210310.2%
 
-1.60188949110.2%
 
-1.5828965910.2%
 
-1.58198499710.2%
 
-1.58043134210.2%
 
-1.57958495610.2%
 
-1.57348144110.2%
 
-1.56994748110.2%
 
-1.56558120310.2%
 
-1.56459081210.2%
 
ValueCountFrequency (%) 
1.74558019610.2%
 
1.73727071310.2%
 
1.73422360410.2%
 
1.72098767810.2%
 
1.71096098410.2%
 
1.70027422910.2%
 
1.6905498510.2%
 
1.68722498410.2%
 
1.67957353610.2%
 
1.66122436510.2%
 

oz46
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.9336661100387573e-11
Minimum-1.8449275493621824
Maximum1.700183629989624
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:45:49.239673image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.844927549
5-th percentile-1.639854819
Q1-0.8003866076
median0.03755503707
Q30.8195749968
95-th percentile1.57387169
Maximum1.70018363
Range3.545111179
Interquartile range (IQR)1.619961604

Descriptive statistics

Standard deviation1.000000001
Coefficient of variation (CV)-3.408704206e+10
Kurtosis-1.070418984
Mean-2.93366611e-11
Median Absolute Deviation (MAD)0.8070043027
Skewness-0.06723563005
Sum-1.466833055e-08
Variance1.000000002
2020-08-25T00:45:49.344221image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.743163287610.2%
 
1.34993684310.2%
 
-0.679044902310.2%
 
0.980131387710.2%
 
0.768712878210.2%
 
-0.0287886839410.2%
 
-0.276537090510.2%
 
0.151092886910.2%
 
0.176355287410.2%
 
0.905903875810.2%
 
1.28910267410.2%
 
-1.69796085410.2%
 
0.515979647610.2%
 
-0.638052880810.2%
 
0.0877643153110.2%
 
0.40350100410.2%
 
-1.84492754910.2%
 
0.246428757910.2%
 
-1.28002917810.2%
 
-0.937872767410.2%
 
-0.82165759810.2%
 
-0.122238688210.2%
 
-1.29094517210.2%
 
1.0972763310.2%
 
-0.391789764210.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.84492754910.2%
 
-1.84084188910.2%
 
-1.83249378210.2%
 
-1.82472860810.2%
 
-1.82348120210.2%
 
-1.81832206210.2%
 
-1.81825780910.2%
 
-1.81774115610.2%
 
-1.810298810.2%
 
-1.80329608910.2%
 
ValueCountFrequency (%) 
1.7001836310.2%
 
1.69537794610.2%
 
1.68996214910.2%
 
1.68911588210.2%
 
1.68777775810.2%
 
1.6846506610.2%
 
1.6762607110.2%
 
1.66570544210.2%
 
1.6655551210.2%
 
1.66507911710.2%
 

oz18
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.543712854385376e-10
Minimum-1.802498698234558
Maximum1.61600923538208
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:45:49.464171image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.802498698
5-th percentile-1.562673908
Q1-0.8780244589
median0.05467908271
Q30.8855366111
95-th percentile1.501375699
Maximum1.616009235
Range3.418507934
Interquartile range (IQR)1.76356107

Descriptive statistics

Standard deviation1.000000002
Coefficient of variation (CV)1325607193
Kurtosis-1.244396919
Mean7.543712854e-10
Median Absolute Deviation (MAD)0.8671294153
Skewness-0.07759175498
Sum3.771856427e-07
Variance1.000000005
2020-08-25T00:45:49.568717image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.78515064710.2%
 
-1.01044142210.2%
 
-0.665714681110.2%
 
-0.0384710803610.2%
 
-0.897766709310.2%
 
1.11585974710.2%
 
0.0419724695410.2%
 
-1.16944682610.2%
 
-0.814774572810.2%
 
-0.417154997610.2%
 
-0.727865338310.2%
 
1.1432347310.2%
 
-1.00715410710.2%
 
-1.37566161210.2%
 
1.43116569510.2%
 
-1.59306955310.2%
 
1.33862423910.2%
 
-1.74880492710.2%
 
-0.826515138110.2%
 
1.38154935810.2%
 
-0.479667037710.2%
 
0.189784765210.2%
 
0.369937479510.2%
 
-1.62177431610.2%
 
-0.928350150610.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.80249869810.2%
 
-1.79375314710.2%
 
-1.78807151310.2%
 
-1.78515064710.2%
 
-1.78317916410.2%
 
-1.76261246210.2%
 
-1.75450563410.2%
 
-1.74880492710.2%
 
-1.71380364910.2%
 
-1.70485115110.2%
 
ValueCountFrequency (%) 
1.61600923510.2%
 
1.60965466510.2%
 
1.60291361810.2%
 
1.5956586610.2%
 
1.59361159810.2%
 
1.59133470110.2%
 
1.58536791810.2%
 
1.57722544710.2%
 
1.56632685710.2%
 
1.56561565410.2%
 

oz49
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.619693988847871e-09
Minimum-1.808658242225647
Maximum1.6704119443893433
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:45:49.687698image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.808658242
5-th percentile-1.575272959
Q1-0.8704040647
median0.01556767477
Q30.8587460816
95-th percentile1.536614877
Maximum1.670411944
Range3.479070187
Interquartile range (IQR)1.729150146

Descriptive statistics

Standard deviation1.000000001
Coefficient of variation (CV)381723974.3
Kurtosis-1.160860439
Mean2.619693989e-09
Median Absolute Deviation (MAD)0.8565750872
Skewness-0.05646059895
Sum1.309846994e-06
Variance1.000000002
2020-08-25T00:45:49.791681image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.43359231910.2%
 
-0.0612382814310.2%
 
1.53183937110.2%
 
-0.782523095610.2%
 
-0.250016599910.2%
 
0.245192006210.2%
 
1.39513206510.2%
 
-0.888526737710.2%
 
1.34826135610.2%
 
0.0246677212410.2%
 
1.66857969810.2%
 
-0.237870648510.2%
 
0.279452472910.2%
 
1.52602338810.2%
 
0.982740223410.2%
 
1.4752508410.2%
 
0.848979353910.2%
 
0.736656010210.2%
 
-0.753258347510.2%
 
0.523767411710.2%
 
-0.907557070310.2%
 
-0.758144974710.2%
 
-0.119587309710.2%
 
-1.22527897410.2%
 
-0.375167876510.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.80865824210.2%
 
-1.80814003910.2%
 
-1.80570149410.2%
 
-1.80505728710.2%
 
-1.77957832810.2%
 
-1.77552831210.2%
 
-1.77469694610.2%
 
-1.76361191310.2%
 
-1.74950945410.2%
 
-1.72052502610.2%
 
ValueCountFrequency (%) 
1.67041194410.2%
 
1.66857969810.2%
 
1.66838777110.2%
 
1.66675579510.2%
 
1.66391897210.2%
 
1.6561415210.2%
 
1.65601849610.2%
 
1.64603269110.2%
 
1.64361774910.2%
 
1.63432657710.2%
 

oz27
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.3527612686157225e-10
Minimum-1.7856091260910034
Maximum1.7921708822250366
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:45:49.911521image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.785609126
5-th percentile-1.500009525
Q1-0.8117945492
median-0.082851924
Q30.817937851
95-th percentile1.576281017
Maximum1.792170882
Range3.577780008
Interquartile range (IQR)1.6297324

Descriptive statistics

Standard deviation1.000000002
Coefficient of variation (CV)-2982616184
Kurtosis-1.156672995
Mean-3.352761269e-10
Median Absolute Deviation (MAD)0.8560559824
Skewness0.03455602579
Sum-1.676380634e-07
Variance1.000000004
2020-08-25T00:45:50.187053image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.865261793110.2%
 
-0.295088797810.2%
 
-1.20569479510.2%
 
1.28769946110.2%
 
-0.83722788110.2%
 
-0.440587401410.2%
 
-1.38827347810.2%
 
0.938794791710.2%
 
-1.0221725710.2%
 
1.61782717710.2%
 
-1.48465979110.2%
 
-0.885090410710.2%
 
-0.699548125310.2%
 
-0.571934163610.2%
 
0.826504409310.2%
 
-1.57489085210.2%
 
1.42454135410.2%
 
0.973971009310.2%
 
0.368359208110.2%
 
0.753269553210.2%
 
-0.559913039210.2%
 
1.71748626210.2%
 
0.426442593310.2%
 
0.0340650454210.2%
 
0.324880610.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.78560912610.2%
 
-1.7840993410.2%
 
-1.77366185210.2%
 
-1.76559805910.2%
 
-1.76283991310.2%
 
-1.75712215910.2%
 
-1.75577998210.2%
 
-1.73350644110.2%
 
-1.72808742510.2%
 
-1.72732543910.2%
 
ValueCountFrequency (%) 
1.79217088210.2%
 
1.78320658210.2%
 
1.7797317510.2%
 
1.77367305810.2%
 
1.76550114210.2%
 
1.73696219910.2%
 
1.7320804610.2%
 
1.72036588210.2%
 
1.71907532210.2%
 
1.71748626210.2%
 

oz26
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.007030606269837e-11
Minimum-1.7416536808013916
Maximum1.617883801460266
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:45:50.304166image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.741653681
5-th percentile-1.588806003
Q1-0.8466174304
median-0.003028077423
Q30.908050254
95-th percentile1.478198981
Maximum1.617883801
Range3.359537482
Interquartile range (IQR)1.754667684

Descriptive statistics

Standard deviation1
Coefficient of variation (CV)1.664716007e+10
Kurtosis-1.248009529
Mean6.007030606e-11
Median Absolute Deviation (MAD)0.8958264416
Skewness-0.06578538175
Sum3.003515303e-08
Variance1.000000001
2020-08-25T00:45:50.408351image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.41405987710.2%
 
-0.846581816710.2%
 
0.413908332610.2%
 
-0.514950215810.2%
 
-0.276704013310.2%
 
0.515929520110.2%
 
-0.9085084210.2%
 
-0.693848192710.2%
 
-1.14319503310.2%
 
-0.462557166810.2%
 
-1.53382587410.2%
 
0.875312387910.2%
 
-0.60578203210.2%
 
-0.0934230759710.2%
 
-1.09243154510.2%
 
0.907055199110.2%
 
-0.407897710810.2%
 
-0.332214146910.2%
 
-1.41081118610.2%
 
-0.806969463810.2%
 
0.921538591410.2%
 
-1.18971550510.2%
 
-1.11994409610.2%
 
-0.803226470910.2%
 
-1.688184510.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.74165368110.2%
 
-1.73058235610.2%
 
-1.72438669210.2%
 
-1.72364008410.2%
 
-1.71542680310.2%
 
-1.71510624910.2%
 
-1.71137094510.2%
 
-1.7102273710.2%
 
-1.70939445510.2%
 
-1.70311045610.2%
 
ValueCountFrequency (%) 
1.61788380110.2%
 
1.61661171910.2%
 
1.60684382910.2%
 
1.60645294210.2%
 
1.60402405310.2%
 
1.60353434110.2%
 
1.59020745810.2%
 
1.59012985210.2%
 
1.58680474810.2%
 
1.58585393410.2%
 

oz33
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.780463546514511e-09
Minimum-1.648191213607788
Maximum1.7181968688964844
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:45:50.523209image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.648191214
5-th percentile-1.492349648
Q1-0.8910915852
median-0.01164333755
Q30.8892648667
95-th percentile1.551647198
Maximum1.718196869
Range3.366388083
Interquartile range (IQR)1.780356452

Descriptive statistics

Standard deviation0.9999999997
Coefficient of variation (CV)-359652260.5
Kurtosis-1.271361916
Mean-2.780463547e-09
Median Absolute Deviation (MAD)0.8908009231
Skewness0.04922139243
Sum-1.390231773e-06
Variance0.9999999993
2020-08-25T00:45:50.627514image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.582029581110.2%
 
-0.316098123810.2%
 
1.62956154310.2%
 
0.766930043710.2%
 
0.372235566410.2%
 
1.59965515110.2%
 
-0.325364172510.2%
 
-1.0475640310.2%
 
-1.12373864710.2%
 
-0.619742453110.2%
 
-0.194911569410.2%
 
0.295097410710.2%
 
-1.543675910.2%
 
1.68234884710.2%
 
0.901722669610.2%
 
0.98668950810.2%
 
-0.894918918610.2%
 
-0.67994153510.2%
 
-0.330941051210.2%
 
0.138580888510.2%
 
1.24682235710.2%
 
-0.886113166810.2%
 
-0.408505082110.2%
 
-0.741584539410.2%
 
1.42183947610.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.64819121410.2%
 
-1.64118480710.2%
 
-1.64030933410.2%
 
-1.63556826110.2%
 
-1.62595784710.2%
 
-1.62197279910.2%
 
-1.6211706410.2%
 
-1.61972093610.2%
 
-1.61938059310.2%
 
-1.60855555510.2%
 
ValueCountFrequency (%) 
1.71819686910.2%
 
1.71512138810.2%
 
1.71250343310.2%
 
1.70918178610.2%
 
1.70831000810.2%
 
1.68234884710.2%
 
1.67755889910.2%
 
1.65471136610.2%
 
1.64842760610.2%
 
1.64082944410.2%
 

oz20
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.0707451514899732e-09
Minimum-1.7946044206619265
Maximum1.735563039779663
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:45:50.752249image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.794604421
5-th percentile-1.595186675
Q1-0.8533094972
median0.01683880854
Q30.8413877785
95-th percentile1.541812873
Maximum1.73556304
Range3.53016746
Interquartile range (IQR)1.694697276

Descriptive statistics

Standard deviation1.000000002
Coefficient of variation (CV)-325653856.7
Kurtosis-1.151278689
Mean-3.070745151e-09
Median Absolute Deviation (MAD)0.8365943832
Skewness-0.038473196
Sum-1.535372576e-06
Variance1.000000003
2020-08-25T00:45:50.857243image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.32470676310.2%
 
1.21939265710.2%
 
0.635064005910.2%
 
0.128004595610.2%
 
-1.61778962610.2%
 
0.105308957410.2%
 
1.43613278910.2%
 
0.681945681610.2%
 
1.54162728810.2%
 
-1.15413284310.2%
 
-1.01038014910.2%
 
-0.186689555610.2%
 
0.00142158835710.2%
 
0.869457006510.2%
 
-1.16664922210.2%
 
-0.390188753610.2%
 
-1.1901519310.2%
 
0.00960282981410.2%
 
-0.283095836610.2%
 
-1.03581595410.2%
 
-0.888026297110.2%
 
0.501310050510.2%
 
-1.47632873110.2%
 
-0.403152853310.2%
 
-1.12957990210.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.79460442110.2%
 
-1.76957833810.2%
 
-1.76619875410.2%
 
-1.74498069310.2%
 
-1.73575270210.2%
 
-1.71875774910.2%
 
-1.71840095510.2%
 
-1.70054161510.2%
 
-1.68992364410.2%
 
-1.6825368410.2%
 
ValueCountFrequency (%) 
1.7355630410.2%
 
1.73276555510.2%
 
1.72904908710.2%
 
1.71617484110.2%
 
1.71529781810.2%
 
1.71060061510.2%
 
1.70578730110.2%
 
1.70089447510.2%
 
1.69519293310.2%
 
1.69049406110.2%
 

oz13
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.4309771358966827e-09
Minimum-1.7010316848754885
Maximum1.7369937896728516
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:45:50.974372image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.701031685
5-th percentile-1.542969513
Q1-0.8659000248
median0.02705365513
Q30.8550296426
95-th percentile1.581080991
Maximum1.73699379
Range3.438025475
Interquartile range (IQR)1.720929667

Descriptive statistics

Standard deviation0.9999999975
Coefficient of variation (CV)-698823183.4
Kurtosis-1.158499509
Mean-1.430977136e-09
Median Absolute Deviation (MAD)0.8563329279
Skewness0.01277714227
Sum-7.154885679e-07
Variance0.999999995
2020-08-25T00:45:51.079476image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.03531765910.2%
 
0.427427113110.2%
 
0.299481868710.2%
 
0.459724664710.2%
 
1.7369937910.2%
 
-1.03778207310.2%
 
-1.05341756310.2%
 
-0.511085569910.2%
 
-1.68233060810.2%
 
-1.59054434310.2%
 
-1.57101607310.2%
 
-0.73375099910.2%
 
0.778674483310.2%
 
1.61316740510.2%
 
0.104659266810.2%
 
-1.21752774710.2%
 
0.029248058810.2%
 
1.38549959710.2%
 
-0.358583509910.2%
 
1.7199606910.2%
 
-0.170014873110.2%
 
-1.51299738910.2%
 
0.91564053310.2%
 
0.348333418410.2%
 
-0.310249060410.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.70103168510.2%
 
-1.69999659110.2%
 
-1.69279265410.2%
 
-1.68399703510.2%
 
-1.68233060810.2%
 
-1.68135654910.2%
 
-1.6673295510.2%
 
-1.65950596310.2%
 
-1.65672898310.2%
 
-1.65597760710.2%
 
ValueCountFrequency (%) 
1.7369937910.2%
 
1.73653566810.2%
 
1.73433268110.2%
 
1.72928714810.2%
 
1.72444999210.2%
 
1.72086381910.2%
 
1.7199606910.2%
 
1.71980524110.2%
 
1.71462953110.2%
 
1.7105786810.2%
 

oz5
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.2279488146305084e-09
Minimum-1.776567816734314
Maximum1.6503767967224119
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:45:51.197837image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.776567817
5-th percentile-1.644276035
Q1-0.8799197078
median0.08325454965
Q30.8995936215
95-th percentile1.464819604
Maximum1.650376797
Range3.426944613
Interquartile range (IQR)1.779513329

Descriptive statistics

Standard deviation1
Coefficient of variation (CV)-814366192
Kurtosis-1.207758055
Mean-1.227948815e-09
Median Absolute Deviation (MAD)0.8782126866
Skewness-0.12128882
Sum-6.139744073e-07
Variance1
2020-08-25T00:45:51.303050image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.258298993110.2%
 
0.201259493810.2%
 
-1.30141985410.2%
 
-1.69720995410.2%
 
0.571089506110.2%
 
1.33659696610.2%
 
-0.938426852210.2%
 
0.922207891910.2%
 
-0.129218161110.2%
 
0.482742220210.2%
 
1.26044535610.2%
 
-0.901025056810.2%
 
-0.471124291410.2%
 
1.46553635610.2%
 
1.52803850210.2%
 
-1.62960791610.2%
 
-1.77134227810.2%
 
-1.32492339610.2%
 
-1.32377505310.2%
 
-1.53586387610.2%
 
-0.0301319472510.2%
 
-0.535512745410.2%
 
-0.756475210210.2%
 
1.64569592510.2%
 
0.961223661910.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.77656781710.2%
 
-1.77134227810.2%
 
-1.76602339710.2%
 
-1.75540876410.2%
 
-1.75396907310.2%
 
-1.75276017210.2%
 
-1.75033903110.2%
 
-1.74362242210.2%
 
-1.73699867710.2%
 
-1.73223125910.2%
 
ValueCountFrequency (%) 
1.65037679710.2%
 
1.64674258210.2%
 
1.64569592510.2%
 
1.63651847810.2%
 
1.6258895410.2%
 
1.62442421910.2%
 
1.62436270710.2%
 
1.62059366710.2%
 
1.61318314110.2%
 
1.60735344910.2%
 

oz38
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.832392394542694e-10
Minimum-1.6770669221878052
Maximum1.812756896018982
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:45:51.420202image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.677066922
5-th percentile-1.502778304
Q1-0.8234038204
median-0.07929550856
Q30.8769222349
95-th percentile1.645378649
Maximum1.812756896
Range3.489823818
Interquartile range (IQR)1.700326055

Descriptive statistics

Standard deviation0.9999999989
Coefficient of variation (CV)-2609336143
Kurtosis-1.147708762
Mean-3.832392395e-10
Median Absolute Deviation (MAD)0.8270490393
Skewness0.1415061885
Sum-1.916196197e-07
Variance0.9999999978
2020-08-25T00:45:51.526623image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.708007752910.2%
 
0.926123797910.2%
 
1.68423950710.2%
 
-0.0174224674710.2%
 
-0.432063549810.2%
 
-0.44791707410.2%
 
-0.742515444810.2%
 
-0.869182884710.2%
 
-1.48862886410.2%
 
1.34775197510.2%
 
-0.684907317210.2%
 
-0.75717538610.2%
 
0.343919843410.2%
 
-0.129479795710.2%
 
1.21112358610.2%
 
-0.424000173810.2%
 
1.75856661810.2%
 
0.628275036810.2%
 
1.75459933310.2%
 
0.427908062910.2%
 
0.218348935210.2%
 
-0.893589079410.2%
 
1.62179923110.2%
 
-0.219393819610.2%
 
-1.56114089510.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.67706692210.2%
 
-1.66151785910.2%
 
-1.66064083610.2%
 
-1.65293824710.2%
 
-1.65173590210.2%
 
-1.642117510.2%
 
-1.63186109110.2%
 
-1.62997150410.2%
 
-1.62351167210.2%
 
-1.62070894210.2%
 
ValueCountFrequency (%) 
1.81275689610.2%
 
1.8010073910.2%
 
1.80090081710.2%
 
1.79478728810.2%
 
1.78801679610.2%
 
1.77325177210.2%
 
1.76247894810.2%
 
1.75856661810.2%
 
1.75791299310.2%
 
1.75459933310.2%
 

oz9
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.3927929103374482e-09
Minimum-1.711734175682068
Maximum1.7014362812042236
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:45:51.652257image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.711734176
5-th percentile-1.550983524
Q1-0.8780317456
median0.02188748773
Q30.864427954
95-th percentile1.514458513
Maximum1.701436281
Range3.413170457
Interquartile range (IQR)1.7424597

Descriptive statistics

Standard deviation1.000000001
Coefficient of variation (CV)-717981829
Kurtosis-1.24858721
Mean-1.39279291e-09
Median Absolute Deviation (MAD)0.8658753037
Skewness-0.01510353621
Sum-6.963964552e-07
Variance1.000000002
2020-08-25T00:45:51.756752image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.110473573210.2%
 
1.27415156410.2%
 
-1.11784923110.2%
 
0.979826688810.2%
 
-1.06317341310.2%
 
-0.424486011310.2%
 
1.25849211210.2%
 
1.5612291110.2%
 
1.51435518310.2%
 
1.29718756710.2%
 
0.933939874210.2%
 
1.01410365110.2%
 
-1.69473874610.2%
 
-1.06515955910.2%
 
-0.533558011110.2%
 
-0.526726901510.2%
 
0.662496566810.2%
 
-0.0115912659110.2%
 
0.515988171110.2%
 
0.46405014410.2%
 
-1.52612149710.2%
 
-1.50659346610.2%
 
-0.662479102610.2%
 
-1.61598277110.2%
 
-0.0303157437610.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.71173417610.2%
 
-1.7010339510.2%
 
-1.69473874610.2%
 
-1.6901036510.2%
 
-1.68729555610.2%
 
-1.67658007110.2%
 
-1.65610516110.2%
 
-1.64861249910.2%
 
-1.64292228210.2%
 
-1.6383575210.2%
 
ValueCountFrequency (%) 
1.70143628110.2%
 
1.70111441610.2%
 
1.69927346710.2%
 
1.69862198810.2%
 
1.67968988410.2%
 
1.6450438510.2%
 
1.6382776510.2%
 
1.6235225210.2%
 
1.61789488810.2%
 
1.61183655310.2%
 

oz4
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.171836629509926e-09
Minimum-1.7818448543548584
Maximum1.7793920040130615
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:45:51.871966image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.781844854
5-th percentile-1.58430934
Q1-0.8519280553
median0.01062790817
Q30.8954763263
95-th percentile1.521177679
Maximum1.779392004
Range3.561236858
Interquartile range (IQR)1.747404382

Descriptive statistics

Standard deviation1.000000001
Coefficient of variation (CV)853361275.9
Kurtosis-1.160549513
Mean1.17183663e-09
Median Absolute Deviation (MAD)0.8842306905
Skewness-0.04661634852
Sum5.859183148e-07
Variance1.000000003
2020-08-25T00:45:51.973821image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.840820133710.2%
 
1.2862070810.2%
 
0.982096612510.2%
 
0.257474303210.2%
 
1.52087879210.2%
 
0.203445032210.2%
 
-0.807922124910.2%
 
0.0657984390910.2%
 
0.894837975510.2%
 
-0.628237187910.2%
 
-1.22718799110.2%
 
-1.03382885510.2%
 
0.386953383710.2%
 
0.648752272110.2%
 
-0.919261038310.2%
 
-0.00952547788610.2%
 
0.487193316210.2%
 
1.42513859310.2%
 
-0.54231458910.2%
 
-1.4335726510.2%
 
-1.28971910510.2%
 
0.637048482910.2%
 
1.05390882510.2%
 
-0.548123061710.2%
 
-1.55731356110.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.78184485410.2%
 
-1.76867580410.2%
 
-1.76840591410.2%
 
-1.75387549410.2%
 
-1.74800074110.2%
 
-1.7351303110.2%
 
-1.73165667110.2%
 
-1.7246583710.2%
 
-1.71990299210.2%
 
-1.70755946610.2%
 
ValueCountFrequency (%) 
1.77939200410.2%
 
1.77157902710.2%
 
1.76410484310.2%
 
1.76081895810.2%
 
1.75747144210.2%
 
1.73994779610.2%
 
1.7303934110.2%
 
1.71928548810.2%
 
1.70326745510.2%
 
1.67601525810.2%
 

oz7
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.1810410544276237e-10
Minimum-1.726633906364441
Maximum1.7647696733474731
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:45:52.087584image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.726633906
5-th percentile-1.527757716
Q1-0.8449887037
median-0.0468630977
Q30.8609672934
95-th percentile1.624104708
Maximum1.764769673
Range3.49140358
Interquartile range (IQR)1.705955997

Descriptive statistics

Standard deviation0.9999999972
Coefficient of variation (CV)4584966409
Kurtosis-1.156968829
Mean2.181041054e-10
Median Absolute Deviation (MAD)0.8651458509
Skewness0.07437810319
Sum1.090520527e-07
Variance0.9999999943
2020-08-25T00:45:52.195242image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.792968690410.2%
 
-0.400118172210.2%
 
-0.768868088710.2%
 
1.04945588110.2%
 
1.47914683810.2%
 
-1.47524142310.2%
 
-1.42285418510.2%
 
-0.664383530610.2%
 
-0.812178552210.2%
 
0.464029431310.2%
 
-0.00477854162510.2%
 
0.955727875210.2%
 
1.65885794210.2%
 
-1.69856166810.2%
 
-1.28191304210.2%
 
1.70184445410.2%
 
1.00905132310.2%
 
-1.48309612310.2%
 
0.609713792810.2%
 
0.0708436146410.2%
 
-0.400073826310.2%
 
-1.55146825310.2%
 
0.823534548310.2%
 
-1.39131784410.2%
 
-1.46219074710.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.72663390610.2%
 
-1.72604298610.2%
 
-1.69856166810.2%
 
-1.69212675110.2%
 
-1.69163894710.2%
 
-1.68567657510.2%
 
-1.6732227810.2%
 
-1.66431224310.2%
 
-1.6635001910.2%
 
-1.66044783610.2%
 
ValueCountFrequency (%) 
1.76476967310.2%
 
1.75880110310.2%
 
1.75401365810.2%
 
1.75159966910.2%
 
1.73815059710.2%
 
1.73631179310.2%
 
1.73044896110.2%
 
1.72664117810.2%
 
1.71798014610.2%
 
1.71573722410.2%
 

oz42
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1976808291791485e-09
Minimum-1.6703854799270632
Maximum1.813650608062744
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:45:52.311387image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.67038548
5-th percentile-1.52658754
Q1-0.8379391879
median-0.04169859737
Q30.7920248359
95-th percentile1.624618042
Maximum1.813650608
Range3.484036088
Interquartile range (IQR)1.629964024

Descriptive statistics

Standard deviation1.000000002
Coefficient of variation (CV)834946988.7
Kurtosis-1.165570639
Mean1.197680829e-09
Median Absolute Deviation (MAD)0.8159106374
Skewness0.08671607633
Sum5.988404146e-07
Variance1.000000003
2020-08-25T00:45:52.413847image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.422362893810.2%
 
-1.01636469410.2%
 
-1.00460267110.2%
 
0.453787803610.2%
 
-0.277031630310.2%
 
0.750352740310.2%
 
-0.202480956910.2%
 
1.12180900610.2%
 
-1.24290394810.2%
 
-0.286800801810.2%
 
0.915470838510.2%
 
-0.781610608110.2%
 
-0.460141807810.2%
 
-0.641964852810.2%
 
0.922244131610.2%
 
-0.375399112710.2%
 
-1.504694710.2%
 
-0.0509877428410.2%
 
0.830453276610.2%
 
-1.55544042610.2%
 
-0.0817121416310.2%
 
1.52272534410.2%
 
1.55082321210.2%
 
0.753309667110.2%
 
0.0747546851610.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.6703854810.2%
 
-1.66737794910.2%
 
-1.63659143410.2%
 
-1.63028478610.2%
 
-1.62981224110.2%
 
-1.62689387810.2%
 
-1.62648546710.2%
 
-1.6244602210.2%
 
-1.62416124310.2%
 
-1.62304425210.2%
 
ValueCountFrequency (%) 
1.81365060810.2%
 
1.80870962110.2%
 
1.80132472510.2%
 
1.79391002710.2%
 
1.78919911410.2%
 
1.78194725510.2%
 
1.77666091910.2%
 
1.76746630710.2%
 
1.7562928210.2%
 
1.75294005910.2%
 

oz47
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.297332342886648e-09
Minimum-1.6931821107864382
Maximum1.7421871423721311
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:45:52.527386image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.693182111
5-th percentile-1.5717134
Q1-0.8908661604
median0.03060343768
Q30.8557663858
95-th percentile1.578356308
Maximum1.742187142
Range3.435369253
Interquartile range (IQR)1.746632546

Descriptive statistics

Standard deviation1.000000001
Coefficient of variation (CV)770812511.1
Kurtosis-1.19618804
Mean1.297332343e-09
Median Absolute Deviation (MAD)0.8708253214
Skewness-0.03269604523
Sum6.486661714e-07
Variance1.000000002
2020-08-25T00:45:52.628721image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.875642359310.2%
 
1.35989165310.2%
 
-1.45961034310.2%
 
-1.41665244110.2%
 
1.60415363310.2%
 
-0.83137422810.2%
 
0.0909824445810.2%
 
-1.28841888910.2%
 
1.19396460110.2%
 
-0.0129445372110.2%
 
1.10026264210.2%
 
1.14714729810.2%
 
-0.890956819110.2%
 
-1.47377610210.2%
 
-1.66668295910.2%
 
0.367356270610.2%
 
0.14657679210.2%
 
1.1828279510.2%
 
-0.76791703710.2%
 
-1.54755425510.2%
 
1.43037104610.2%
 
-1.32881462610.2%
 
0.53338569410.2%
 
-1.59834873710.2%
 
-1.09445655310.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.69318211110.2%
 
-1.68265616910.2%
 
-1.678686510.2%
 
-1.67223441610.2%
 
-1.66931557710.2%
 
-1.66668295910.2%
 
-1.66487038110.2%
 
-1.6598999510.2%
 
-1.64982831510.2%
 
-1.64909923110.2%
 
ValueCountFrequency (%) 
1.74218714210.2%
 
1.74066054810.2%
 
1.71412825610.2%
 
1.707503210.2%
 
1.7044938810.2%
 
1.68787813210.2%
 
1.6858882910.2%
 
1.6812313810.2%
 
1.67848992310.2%
 
1.67833960110.2%
 

oz48
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.7625432014465334e-10
Minimum-1.7932653427124023
Maximum1.6214351654052734
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:45:52.747024image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.793265343
5-th percentile-1.611927688
Q1-0.8556866348
median0.01725208666
Q30.8918839544
95-th percentile1.471618301
Maximum1.621435165
Range3.414700508
Interquartile range (IQR)1.747570589

Descriptive statistics

Standard deviation1.000000001
Coefficient of variation (CV)-2657776794
Kurtosis-1.195653898
Mean-3.762543201e-10
Median Absolute Deviation (MAD)0.8763583014
Skewness-0.07907849626
Sum-1.881271601e-07
Variance1.000000002
2020-08-25T00:45:52.853863image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.47070074110.2%
 
0.910505890810.2%
 
-0.6038420210.2%
 
-1.6100308910.2%
 
-0.46675631410.2%
 
0.585292756610.2%
 
-1.4127794510.2%
 
-0.384934306110.2%
 
-1.77411103210.2%
 
0.277897417510.2%
 
1.37177503110.2%
 
-1.55342018610.2%
 
0.6476776610.2%
 
-0.0210679583310.2%
 
0.414236128310.2%
 
-1.3190597310.2%
 
-1.28005409210.2%
 
0.613635599610.2%
 
1.59251439610.2%
 
-0.14893184610.2%
 
-0.620478928110.2%
 
-0.887454748210.2%
 
1.48315346210.2%
 
-0.544312417510.2%
 
-0.493036210510.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.79326534310.2%
 
-1.79221618210.2%
 
-1.78382778210.2%
 
-1.77411103210.2%
 
-1.76946127410.2%
 
-1.76783442510.2%
 
-1.76766657810.2%
 
-1.75453484110.2%
 
-1.74706101410.2%
 
-1.7462400210.2%
 
ValueCountFrequency (%) 
1.62143516510.2%
 
1.61423468610.2%
 
1.61094629810.2%
 
1.60569226710.2%
 
1.60369408110.2%
 
1.59265220210.2%
 
1.59251439610.2%
 
1.59163594210.2%
 
1.58699166810.2%
 
1.58634102310.2%
 

target
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.650769227978799e-10
Minimum-2.739672899246216
Maximum2.5525028705596924
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:45:52.970747image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-2.739672899
5-th percentile-1.739140981
Q1-0.6302249432
median0.04189530946
Q30.7078347653
95-th percentile1.512365657
Maximum2.552502871
Range5.29217577
Interquartile range (IQR)1.338059708

Descriptive statistics

Standard deviation0.9999999999
Coefficient of variation (CV)6057781930
Kurtosis-0.395800613
Mean1.650769228e-10
Median Absolute Deviation (MAD)0.6734119952
Skewness-0.2810360507
Sum8.25384614e-08
Variance0.9999999998
2020-08-25T00:45:53.241530image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.00277132680610.2%
 
-0.0351149514310.2%
 
1.01930773310.2%
 
0.473780572410.2%
 
0.657522201510.2%
 
0.30318063510.2%
 
0.187669202710.2%
 
1.05138385310.2%
 
-0.155837744510.2%
 
0.803038835510.2%
 
-0.317468196210.2%
 
-0.926592290410.2%
 
1.30140638410.2%
 
-1.37833666810.2%
 
0.734689235710.2%
 
0.652228593810.2%
 
0.971055686510.2%
 
1.82876849210.2%
 
-1.41081571610.2%
 
1.44359624410.2%
 
-0.208579793610.2%
 
0.480148583710.2%
 
0.0750588774710.2%
 
0.829440116910.2%
 
0.704166054710.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-2.73967289910.2%
 
-2.7267720710.2%
 
-2.67296838810.2%
 
-2.53047132510.2%
 
-2.46109151810.2%
 
-2.26024174710.2%
 
-2.25475788110.2%
 
-2.17354321510.2%
 
-2.1551418310.2%
 
-2.15396237410.2%
 
ValueCountFrequency (%) 
2.55250287110.2%
 
2.208205710.2%
 
2.18616151810.2%
 
2.10359978710.2%
 
1.91109919510.2%
 
1.90231704710.2%
 
1.86740505710.2%
 
1.86518490310.2%
 
1.84687149510.2%
 
1.82876849210.2%
 

Interactions

2020-08-25T00:44:48.717518image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:44:48.868811image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:44:49.019192image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:44:49.166739image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:44:49.314251image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:44:49.461176image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:44:49.606827image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:44:49.750878image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:44:49.894765image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:44:50.039824image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:44:50.185917image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:44:50.330291image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:44:50.474520image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:44:50.787211image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:44:50.929981image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:44:51.076365image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:44:51.219821image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:44:51.363647image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:44:51.507513image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:44:51.652529image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:44:51.792038image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:44:51.939533image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:44:52.089234image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:44:52.233336image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:44:52.381305image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:44:52.526630image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:44:52.673615image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:44:52.823304image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:44:52.965766image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:44:53.111864image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:44:53.256650image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:44:53.400084image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:44:53.543964image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:44:53.692803image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:44:53.848114image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:44:53.992933image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:44:54.138045image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:44:54.281010image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:44:54.425673image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:44:54.570105image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:44:54.709340image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:44:54.851291image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:44:55.165684image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:44:55.303173image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:44:55.445138image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:44:55.583048image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:44:55.728287image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:44:55.870203image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:44:56.009821image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:44:56.150558image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:44:56.289171image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:44:56.429073image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:44:56.568021image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:44:56.716192image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:44:56.871140image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:44:57.050542image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:44:57.202875image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:44:57.366404image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:44:57.520332image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:44:57.670099image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:44:57.805444image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:44:57.955522image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:44:58.103764image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:44:58.249924image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:44:58.397796image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:44:58.540304image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:44:58.686009image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:44:58.832237image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:44:58.978591image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:44:59.123205image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:44:59.272350image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:44:59.589352image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:44:59.735324image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:44:59.878972image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:00.023725image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
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2020-08-25T00:45:30.436467image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:30.588663image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:30.737141image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:30.887664image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:31.026077image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:31.162679image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:31.301926image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:31.459526image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:31.597086image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:31.738362image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:31.892128image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:32.031122image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:32.173454image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:32.312218image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:32.453029image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:32.589731image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:32.727354image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:32.869704image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:33.014982image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:33.147133image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:33.293887image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:33.442971image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:33.750961image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:33.895599image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:34.040676image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:34.178979image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:34.319585image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:34.463776image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:34.603391image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:34.742604image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:34.879853image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:35.019680image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:35.156216image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:35.297558image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:35.436105image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:35.572681image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:35.710493image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:35.848105image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:35.990149image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:36.123692image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:36.262981image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:36.401184image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:36.547184image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:36.692795image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:36.830013image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:36.981698image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:37.124738image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:37.263044image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:37.400375image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:37.542341image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:37.686683image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:37.995064image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:38.134075image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:38.274096image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:38.414319image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:38.560724image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:38.701035image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:38.841556image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:38.980875image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:39.116156image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:39.258720image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:39.402131image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:39.545098image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:39.686468image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:39.827727image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:39.966514image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:40.108106image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:40.246230image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:40.386765image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:40.527292image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:40.668124image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:40.811585image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:40.953125image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:41.094933image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:41.233002image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:41.371452image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:41.514065image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:41.652123image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:41.790397image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:41.924785image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:42.243079image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:42.385044image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:42.523979image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:42.671583image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:42.810953image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:42.948977image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:43.089524image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:43.230181image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:43.368156image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:43.507351image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:43.650198image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:43.789744image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:43.930606image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:44.072845image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:44.212000image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:44.350098image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:44.488041image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:44.635301image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:44.772070image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:44.905666image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:45.042257image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:45.191077image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:45.322547image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:45.458593image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:45.594989image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:45.728101image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:45.860861image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:45.991163image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:46.128698image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:46.427783image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:46.558677image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:46.694901image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:46.826394image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:46.955709image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:47.089651image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:47.224465image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:47.356943image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:47.489547image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:47.621727image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Correlations

2020-08-25T00:45:53.381241image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2020-08-25T00:45:53.683013image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2020-08-25T00:45:53.989886image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2020-08-25T00:45:54.295557image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2020-08-25T00:45:47.901030image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:45:48.380251image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Sample

First rows

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01.4082800.295083-1.4062580.5845950.423431-1.292862-1.090997-1.5215831.3692631.5416271.452063-0.739627-0.4320640.212228-1.5952201.1864480.875088-0.0562360.6136360.467794
11.3951770.2865420.9849110.369531-0.977398-1.7636121.106615-0.715890-0.4983500.6597520.1292090.281619-1.631861-1.3946250.269406-1.152370-0.2030020.6257670.1474360.366478
20.875585-0.7838450.039831-0.2109441.3386240.721211-0.173859-1.2312791.009880-0.544851-1.397758-0.725683-0.844242-0.5565270.920815-1.4752411.310661-0.5273290.740738-1.233014
3-0.233943-1.6637111.383879-0.6272260.7215050.7756960.780770-0.5765660.9230880.3539510.494512-0.710350-0.212907-1.371801-0.1048681.2027411.6242410.0512841.443004-1.663779
40.762814-1.241382-0.2672471.573764-0.3245961.666756-0.026090-1.643478-0.492510-0.369768-0.0468591.624363-0.984141-0.9996160.938204-0.7036711.275333-0.6357161.5916361.574518
5-0.2039640.137536-1.4855140.843534-0.9105380.1064240.925586-1.3861701.370757-1.1153470.150272-0.8443840.6156020.9886610.421360-1.5714100.865743-0.6909230.4211191.019308
61.665090-1.457902-0.5990040.410663-0.434229-0.721264-0.760370-0.1068230.560788-1.540624-1.087968-0.5173630.2484530.4163491.412247-0.4389731.3914570.0503240.8179400.991013
70.525760-1.263598-1.351306-0.338927-1.4722461.0831481.779732-1.3090140.758106-0.1757071.405440-1.4227880.9895491.4697701.231017-0.341187-1.4521420.8569020.2959270.700072
80.4702700.4593940.7209851.041674-0.374809-0.201476-1.762840-1.0836441.5169750.5940161.276980-0.143440-0.6401771.543499-0.7299390.1623181.018960-1.239325-0.1250130.032682
90.811312-0.262466-0.474597-0.4142120.190049-0.8689910.7572040.5835081.539531-0.390189-0.5110861.4731601.7380710.141610-0.894700-1.179004-1.5780711.1351571.3017450.456431

Last rows

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4901.2452541.0916600.0266780.8839630.737556-0.702770-1.2322110.154430-1.346767-0.743711-1.523341-0.019575-1.2047520.080807-0.334889-0.598579-1.335322-0.188882-0.2656860.187669
491-1.420905-0.8419551.5769340.567536-0.7626191.6460330.8166850.6283471.654711-0.7958731.1144840.320012-0.7933870.6015680.863551-0.049022-0.148151-0.810635-1.6723751.122466
492-0.7025560.5271991.2476901.2219190.3001321.3279780.3861160.663058-0.9162291.368769-0.089711-0.9780440.6065591.5335071.185706-1.3585760.0387701.3106060.5769050.117439
4930.0165120.7695961.3052091.618474-0.802761-1.5102510.433097-0.5183980.9725490.4815161.1197600.3718170.914078-1.503352-1.3543620.8604230.272549-1.071573-0.3499840.975529
494-0.3877150.744069-0.522142-0.6826961.4323021.555080-0.4545080.413908-0.0891931.690494-0.572653-0.3786841.7300631.1498280.948930-0.7306531.522725-1.5124820.424018-1.268516
495-0.5636760.4873930.8264441.0955710.069952-1.774697-0.7451491.3746640.607579-1.0668380.7564340.881826-1.212651-0.7166981.507011-0.5025951.801325-0.691694-1.439536-0.074381
4960.5186100.905481-1.205977-1.8247290.664979-0.912243-0.6686011.457499-0.1666991.0236691.7105790.3524430.4535321.273972-1.5404960.9992420.4052871.030517-0.976350-1.665182
4971.003791-0.0523300.3471190.432157-1.298530-1.5902231.736962-0.0088210.3414230.8991291.570271-0.7295830.503945-0.3811190.139523-1.120003-1.2845781.707503-1.118414-0.212726
498-0.1432720.6849550.4143480.383229-1.3607311.2199170.341348-0.681092-1.552552-1.6720340.2550300.853247-1.420539-0.4358290.693671-0.466272-1.4087140.552182-1.112932-0.809123
4991.171876-0.453375-1.496759-0.5904781.4192780.999500-1.2016981.0988210.7861891.051359-1.5837160.129739-0.772580-0.743232-0.329004-1.2706111.109512-1.6498281.471613-1.135229